Kenzo Identity Risk Engine vs Splunk User and Entity Behavior Analytics: Side-by-Side Comparison (2026)

Kenzo Identity Risk Engine: Identity risk engine that analyzes user behavior and correlates security data. built by Kenzo Security. Core capabilities include User identity resolution across cloud accounts, workstations, SSO, email, and SaaS, Risk-based correlation of alerts, events, anomalies, and threat intelligence, User and cloud entity behavior modeling over time..

Splunk User and Entity Behavior Analytics: ML-based UEBA detecting insider threats via behavioral anomaly detection and risk scoring. built by Splunk Inc.. Core capabilities include Behavioral analytics and machine learning to baseline and detect deviations in user and entity behavior, Entity risk scoring that aggregates risk signals from multiple sources into a single actionable score, Multi-entity correlation across users, devices, endpoints, and cloud applications..

Both serve the User and Entity Behavior Analytics market but differ in approach, feature depth, and target audience.

Kenzo Identity Risk Engine differentiates with User identity resolution across cloud accounts, workstations, SSO, email, and SaaS, Risk-based correlation of alerts, events, anomalies, and threat intelligence, User and cloud entity behavior modeling over time. Splunk User and Entity Behavior Analytics differentiates with Behavioral analytics and machine learning to baseline and detect deviations in user and entity behavior, Entity risk scoring that aggregates risk signals from multiple sources into a single actionable score, Multi-entity correlation across users, devices, endpoints, and cloud applications.

Kenzo Identity Risk Engine is developed by Kenzo Security. Splunk User and Entity Behavior Analytics is developed by Splunk Inc.. Vendor maturity, funding stage, and team size can be important factors when evaluating long-term viability and support quality.

Kenzo Identity Risk Engine and Splunk User and Entity Behavior Analytics serve similar User and Entity Behavior Analytics use cases: both are User and Entity Behavior Analytics tools, both cover Anomaly Detection. Review the feature comparison above to determine which fits your requirements.